Retinal blood vessel image segmentation method and device and related equipment

A retinal blood vessel and image segmentation technology, applied in the field of image processing, can solve the problems of low precision, insufficient extraction of local information, low segmentation accuracy, etc., and achieve the effect of improving segmentation accuracy

Pending Publication Date: 2022-04-29
XINJIANG UNIVERSITY
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  • Claims
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AI Technical Summary

Problems solved by technology

However, the visual transformer still has the problem of heavy calculation and insufficient extraction of local information, resulting in low accuracy.
[0006] Therefore, the existing methods for segmenting retinal blood vessel images have the problem of low segmentation accuracy

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  • Retinal blood vessel image segmentation method and device and related equipment
  • Retinal blood vessel image segmentation method and device and related equipment
  • Retinal blood vessel image segmentation method and device and related equipment

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Embodiment Construction

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the application; the terms used herein in the description of the application are only to describe specific embodiments The purpose is not to limit the present application; the terms "comprising" and "having" and any variations thereof in the specification and claims of the present application and the description of the above drawings are intended to cover non-exclusive inclusion. The terms "first", "second" and the like in the description and claims of the present application or the above drawings are used to distinguish different objects, rather than to describe a specific order.

[0029] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrenc...

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Abstract

The invention relates to the field of computer vision image processing, and discloses a retinal blood vessel image segmentation method and device. The method comprises the following steps: in a data processing stage, firstly, acquiring a to-be-detected retinal blood vessel image; then, performing data enhancement and preprocessing on the retina fundus image; in the training stage, firstly, a network model based on Transform optimization is constructed, and then network model training is carried out by using a processed training image; in a test stage, inputting the retinal blood vessel image into a trained network model for image segmentation; and finally, weighted average is carried out on prediction results of a plurality of retinal blood vessel images output by the network model to obtain the classification probability of each pixel, a final segmentation result graph is obtained, and the segmentation precision of the retinal blood vessel images is improved by adopting the retinal blood vessel image segmentation method.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a retinal blood vessel image segmentation method, device and related equipment. Background technique [0002] Retinal examination can provide important clinical information for the diagnosis of diabetic retinopathy and other retinal diseases. However, manual retinal examination requires clinicians or experts with professional knowledge to screen a large number of retinas. This process is time-consuming and tedious, difficult to achieve batch processing, and easily leads to misdiagnosis. In order to alleviate the shortage of medical resources and reduce the burden on experts, it is necessary to develop an automatic and high-performance retinal vessel image segmentation device for pre-screening and other inspections. The automatic retinal vessel image segmentation device can quickly and accurately segment the structural features of retinal vessels, in which branch points an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/10G06K9/62G06V10/774G06V10/80
CPCG06T7/10G06T2207/30041G06T2207/10101G06T2207/30101G06T2207/20081G06F18/24G06F18/253G06F18/214
Inventor 陈丹妮杨文忠谭思翔林荐壮王梦婷
Owner XINJIANG UNIVERSITY
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